| Statistical Analysis | |
| The FullMetrics Analyzer includes an integrated, real-time SPC charting window and a parameters spreadsheet to review raw Computational data. Using these tools, the characteristic trends can be ascertained using accepted statistical process control methods. |
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| SPC Charting Features Hit List
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| All New Interface Selection Menus New View Modes
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| Analysis Options Curve Fit selections offer a wide range of types to fit your needs, including options for Fast Approximation or no curve fit. Choose your basis for process capability sigma from process, sample, or population. You can set your own sigma value for both control and warning limits, allowing greater freedom in applying the best analysis for the situation. Control limits may also be based on limit values stored with computations or you may enter values directly. Auto-drop automatically discards flyers from the chart analysis. Enter specification limits for reference and comparison. |
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| Run Tests |
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Computations &
Attributes Data Array Attributes are simply any data that you may want to add manually such as measurements or even short notations regarding an event or condition in the project. If your entering numerical data for each shot, you can even analyze attribute data in the SPC chart window. The C&A data array also lets you designate or "mark" specific shots that are to be ignored by the SPC charting function in order to avoid skewing the results. The spreadsheet also allows you to select cells to copy and paste to other applications. |
Example
- C&A Data Array![]() |
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- Statistical Analysis |
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